As renewable power rapidly reshapes global electricity systems, engineers face a growing challenge: how to operate increasingly complex grids with ...
Fruchter, G. (2026) Opportunism in Supply Chain Recommendations: A Dynamic Optimization Approach. Modern Economy, 17, 26-38.
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Microsoft: The AI Utility Thesis - Weighing $392 Billion Backlog Against CapEx Depreciation Cliff
Discover why Microsoft is a top buy with strong AI-driven growth, rising Azure revenue, and 113% price upside.
Stochastic modelling is the development of mathematical models for non-deterministic physical systems, which can adopt many possible behaviours starting from any given initial condition. Monte-Carlo ...
PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first look at the new C code generator for Python. You might be familiar with ...
Abstract: In this paper, the sliding mode control (SMC) problem is investigated for continuous stirred tank reactor (CSTR) via dynamic self-triggered protocol subject to external disturbance. By ...
Abstract: The problems of fault estimation (FE) and fault-tolerant control (FTC) of switched stochastic systems with multiple faults and nonlinear exogenous disturbances are studied. A dynamic FE ...
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